In this article, you’ll get to have a clearer approach to how Text Analysis APIs in Python work, the benefits of its use, and more.
Python is a high-level programming language. It focuses on the readability and understatement of its code. Most of the time it is used to create and develop softwares, websites, and applications. Also, it helps with everything data-related: data analysis, data visualization, and the list goes on.
Even though this language can be seen as complex, it is actually very popular for being easy to learn. Hence, most organizations apply it as a tool to collect data and pay for people that are qualified to understand the language. Now that you have a better understanding of what Python is, I recommend these Top Text Analysis APIs in Python:
Klazify
Klazify is one of the most accurate content classification APIs. It is an all-in-one domain data source. It uses a smart categorization technology able to scan a website’s content and meta tags. It extracts text to classify the site and assigns up to three categories aided by natural language processing.
Its confidence level (confidence in the API) indicates how confident Klazify is of the categorization. It can range from 0-1, with 1 being very confident and 0 being not at all confident.
Natural Language Toolkit
This API focuses on research and education. Hence, it is filled with amazing resources such as data sets, pre-trained models, and a textbook that will help you get started.
However, it has some limits. If you want to analyse and extract information from extremely complex data sources, this may not be the best option. But if you want to text analyse more basic sources and categorize them, this API will be extremely helpful. At the end it all depends on your needs.
SpaCy
SpaCy is a text analysis API that narrows down the options for you by only showing the best algorithm for each task. Also, it comes with several pre-trained models for tasks like named entity recognition, text classification, and part-of-speech (POS) tagging.
Now that you have these three amazing options to use, go for it, try them, and steak with the one you feel the most comfortable with.